Simultaneous exercise recognition and evaluation in prescribed routines: Approach to virtual coaches
作者：
Highlights：
• This work covers the complex task of simultaneous exercise recognition and evaluation.
• The exercises are characterized using data from four IMUs on the limbs.
• Support Vector Machine provides the best metrics compare with other ML algorithms.
• Motion recognition is less demanding than its evaluation due to the posture influence.
• The inertial data used are publicly available.
摘要
•This work covers the complex task of simultaneous exercise recognition and evaluation.•The exercises are characterized using data from four IMUs on the limbs.•Support Vector Machine provides the best metrics compare with other ML algorithms.•Motion recognition is less demanding than its evaluation due to the posture influence.•The inertial data used are publicly available.
论文关键词：Motion recognition,Performance evaluation,Inertial measurement units,IMU,Machine learning,ML,Virtual coach,Elderly
论文评审过程：Received 20 November 2021, Revised 15 January 2022, Accepted 25 March 2022, Available online 1 April 2022, Version of Record 12 April 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.116990
